Triple

T23284514
Position Surface form Disambiguated ID Type / Status
Subject Human After All E588950 entity
Predicate hasTrack P3284 FINISHED
Object On/Off NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: On/Off | Statement: [Human After All, hasTrack, On/Off]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: On/Off
Context triple: [Human After All, hasTrack, On/Off]
  • A. On/Off chosen
    "On/Off" is a song by the Scottish indie rock band Snow Patrol, featured on their album "When It’s All Over We Still Have to Clear Up."
  • B. Turning On
    "Turning On" is a science fiction short story collection by Damon Knight that showcases his sharp wit, inventive ideas, and influential contributions to mid-20th-century speculative fiction.
  • C. OFF!
    OFF! is an American hardcore punk supergroup known for its fast, aggressive sound and featuring veteran musicians from influential punk and alternative bands.
  • D. OFF!
    OFF! is a widely known insect repellent brand that offers sprays, lotions, and other products designed to protect people from mosquitoes and other biting insects.
  • E. On
    On is a Chinese-American actor and martial artist known for his roles in Hong Kong action films such as "Black Mask 2: City of Masks" and "Special ID."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196454b4c8190a797537ce8912241 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:59 p.m.